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» A Portfolio Approach to Algorithm Selection
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ICCV
2007
IEEE
16 years 5 months ago
Gradient Feature Selection for Online Boosting
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
Ting Yu, Xiaoming Liu 0002
ICIP
2009
IEEE
16 years 4 months ago
A Fractal Dimension Based Optimal Wavelet Packet Analysis Technique For Classification Of Meningioma Brain Tumours
With the heterogeneous nature of tissue texture, using a single resolution approach for optimum classification might not suffice. In contrast, a multiresolution wavelet packet ana...
BMCBI
2008
160views more  BMCBI 2008»
15 years 3 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...
WWW
2007
ACM
16 years 3 months ago
Preference-based selection of highly configurable web services
A key challenge for dynamic Web service selection is that Web services are typically highly configurable and service requesters often have dynamic preferences on service configura...
Steffen Lamparter, Anupriya Ankolekar, Rudi Studer...
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
16 years 7 days ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...